44 citations · 53 across the 21 of their papers we have counts for
13 papers · 1 filter
Topological Learning under Sparsity through Huberized Distance Functionals
Tuhin Subhra Mahato, Subhra Sankar Dhar
Learning topological structure from sparsely contaminated data requires robust statistical methods, as even a small fraction of atypical observations can substantially distort the…
Identifying Topological Differences in Two Populations of Random Geometric Objects
Satish Kumar, Subhra Sankar Dhar
We propose a statistical framework to identify topological differences in two populations of random geometric objects. The proposed framework involves first associating a topologic…
A Robust Persistent Homology : Trimming Approach
Tuhin Subhra Mahato, Subhra Sankar Dhar
This article studies the robust version of persistent homology based on trimming methodology to capture the geometric feature through support of the data in presence of outliers. P…
Least Square Estimation: SDEs Perturbed by Lévy Noise with Sparse Sample Paths
Brijesh Kumar Jha, Subhra Sankar Dhar, Akash Ashirbad Panda
This article investigates the least squares estimators (LSE) for the unknown parameters in stochastic differential equations (SDEs) that are affected by Lévy noise, particularly wh…
Operator on Operator Regression in Quantum Probability
Suprio Bhar, Subhra Sankar Dhar, Soumalya Joardar
This article introduces operator on operator regression in quantum probability. Here in the regression model, the response and the independent variables are certain operator valued…
Identifying arbitrary transformation between the slopes in scalar-on-function regression
Pratim Guha Niyogi, Subhra Sankar Dhar
In this article, we study whether the slope functions of two scalar-on-function regression models in two samples are associated with any arbitrary transformation along the vertical…
L-Estimation Approach to Tobit Models with Endogeneity and Weakly Dependent Errors
Swati Shukla, Subhra Sankar Dhar, Shalabh
This article introduces an L-estimator for the semiparametric Tobit model with endogenous regressors. The estimation procedure follows a two-stage approach: the first stage employs…
Generalized M-Estimation in Censored Regression Model under Endogeneity
Swati Shukla, Subhra Sankar Dhar, Shalabh
We propose and study M-estimation to estimate the parameters in the censored regression model in the presence of endogeneity, i.e., the Tobit model. In the course of this study, we…
Inspecting discrepancy between multivariate distributions using half-space depth based information criteria
Pratim Guha Niyogi, Subhra Sankar Dhar
This article inspects whether a multivariate distribution is different from a specified distribution or not, and it also tests the equality of two multivariate distributions. In th…
Shift identification in time varying regression quantiles
Subhra Sankar Dhar, Weichi Wu
This article investigates whether time-varying quantile regression curves are the same up to the horizontal shift or not. The errors and the covariates involved in the regression m…
A New Graphical Device and Related Tests for the Shape of Non-parametric Regression Function
Subhra Sankar Dhar, Prashant Jha, Mohammad Arshad Rahman +1
We consider a non-parametric regression model and propose a novel graphical device to check whether the -th () derivative of the regression functio…
On Variable Screening in Multiple Nonparametric Regression Model
Subhra Sankar Dhar, Prashant Jha, Aranyak Acharyya
In this article, we study the problem of variable screening in multiple nonparametric regression model. The proposed methodology is based on the fact that the partial derivative of…
A Test for Multivariate Location Parameter in Elliptical Model based on Forward Search Method
Chitradipa Chakraborty, Subhra Sankar Dhar
In this article, we develop a test for multivariate location parameter in elliptical model based on the forward search estimator for a specified scatter matrix. Here, we study the…